Evidence map›Paper›PMID 36330430›Full record

ArticleFrontiers in neurology2022

Differential subsampling with cartesian ordering: A high spatial-temporal resolution dixon imaging sequence for assessment of dural arteriovenous fistula.

Xi Chen, Liang Ge, Hailinlin Wan, Lei Huang, Yeqing Jiang, Gang Lu, Jing Wang, Xiaolong Zhang

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xi ChenDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Liang GeDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Hailinlin WanDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Lei HuangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Yeqing JiangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Gang LuDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Jing WangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Xiaolong ZhangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the accuracy of differential subsampling with cartesian ordering (DISCO) in comparison to time of flight (TOF) in detecting dural arteriovenous fistulas (DAVF), cerebral venous thrombosis (CVT) and hemodynamics. Methods: Sixty-two cases (24 female; aged 14-75; mean age, 51.3 years) were included in our study, with 42 positive and 20 negative cases Results: Diagnostic sensitivities of DISCO and TOF for DAVF were 92.86 and 64.29%; specificities were 95.0% and 95.0%; while accuracies were 93.55 and 74.19% respectively. For detected CVT, sensitivities of DISCO and TOF were 100 and 92.31%; specificities were 96.55 and 93.10%; with accuracies 97.62 and 92.86% respectively. In hemodynamic analysis, sensitivity of DISCO for reflux was 95.45%; with a specificity of 95.0%; and accuracy 95.24%. The inter-observer kappa values were 0.857 for DISCO ( Conclusion: DISCO showed a high degree of sensitivity and specificity, suggesting its effectiveness in detecting DAVF with or without CVT. Intracranial hemodynamics can be identified using DISCO in DAVF patients, providing accurate evaluation of cerebral blood flow dynamics during the pre-treatment phase.

Indexed as

cerebral venous thrombosisdifferential subsampling with cartesian orderingdural arteriovenous fistulashemodynamicstime of flight

Identifiers

PMID36330430
PMCPMC9622796

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.